Architect, Senior

Infor Inc.; Atlanta (GA); On-site; USD 150,000 - 190,000; Full time

Job summary

Infor Inc. in Atlanta seeks a Senior Architect to shape scalable enterprise architecture for Java-based services and modern web experiences. You will define reusable patterns for AI-powered workflows and collaborate globally to advance LLM-enabled product experiences.

You will stay hands-on—writing and reviewing code, prototyping solutions, and leading the technical direction of front-end and back-end systems in a cloud-native AWS environment.

Qualifications

• Experience architecting distributed, cloud-native systems at scale.
• Hands-on use of AI coding tools in daily development.
• Proficiency in Java and Python.
• Experience with front-end Angular or TypeScript and container tech.

Responsibilities

• Define target architecture for Java-based services and AWS LLM integrations.
• Write and review code and designs, prototyping hard problems.
• Design scalable, secure, high-performance enterprise systems.
• Lead technical direction of front-end and back-end solutions for adaptive UIs.
• Develop distributed systems and microservices with enterprise practices.
• Collaborate across teams to implement AI agents and cloud services.

Skills

Cloud-native architecture

AI coding tools

Java

Python

Angular

TypeScript

Docker

Kubernetes

AWS

Agentic framework

US work authorization

Tools

Java

Python

Angular

TypeScript

Docker

Kubernetes

AWS

Anthropic Claude API

LangChain

Job description

Architect, Senior

Department: Development

Employment Type: Full Time

Location: Atlanta

Description

Help architect the next generation of agentic experiences inside Infor applications! As a Senior Architect, you will shape scalable enterprise architecture across Java-based services and modern web experiences, define reusable patterns for AI-powered workflows, and partner globally to turn LLM and autonomous-agent capabilities into secure, high-performing product experiences.

A Typical Day in the Life Includes:

• Defining the target architecture for agentic services built on Java and Spring Boot and on AWS (Bedrock, SageMaker, Lambda, EKS), including the LLM provider APIs and tool-use protocols (such as the Anthropic Claude API and MCP) and the web front ends that consume them
• Staying hands-on: personally writing and reviewing code and designs, and prototyping hard problems directly, to remain close enough to the codebase to make credible architecture calls
• Designing architecture for highly scalable, secure, and performance-focused enterprise systems supporting agentic experiences
• Leading the technical direction of front-end and back-end solutions that enable adaptive and dynamically generated user experiences
• Developing and guiding distributed systems and microservices using enterprise-grade development practices
• Collaborating across multiple teams to define and implement solutions involving AI agents, LLM-based capabilities, and cloud services
• Architecting web applications that leverage modern front-end frameworks and enterprise back-end technologies
• Driving cloud-native implementation patterns using AWS and containerized technologies
• Evaluating and incorporating emerging AI-assisted development approaches into software delivery practices

Basic Qualifications:

• Deep, demonstrated experience architecting distributed, cloud-native systems in production at scale — this is the primary gate.
• Hands-on experience using an AI coding tool in daily development work (e.g., Claude Code, AWS Kiro, OpenAI Codex, or a comparable AI-assisted coding tool).
• Experience with Java and Python
• Experience with Angular or Typescript
• Experience with containerization using Docker or Kubernetes
• Experience using AWS
• Exposure to an agentic framework (i.e. Spring AI, LangChain 4j, LangGraph, LangChain, or similar)
• Legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship now or in the future

Preferred Qualifications:

• Experience architecting systems with explicit governance, auditability, or explainability requirements
• Familiarity with the Anthropic Claude API and Model Context Protocol (MCP), or an equivalent LLM provider API and tool-use protocol
• Experience building UX frameworks, component libraries, or design systems used across engineering teams
• Experience designing schema-driven or metadata-driven user interface systems